Overview

Dataset statistics

Number of variables141
Number of observations216044
Missing cells1320676
Missing cells (%)4.3%
Duplicate rows956
Duplicate rows (%)0.4%
Total size in memory232.4 MiB
Average record size in memory1.1 KiB

Variable types

NUM83
CAT47
BOOL11

Warnings

NU_ANO has constant value "216044" Constant
TP_SEMESTRE has constant value "216044" Constant
ID_STATUS has constant value "216044" Constant
AMOSTRA has constant value "216044" Constant
IN_GRAD has constant value "216044" Constant
NU_ITEM_OFG has constant value "216044" Constant
NU_ITEM_OFG_Z has constant value "216044" Constant
NU_ITEM_OFG_N has constant value "216044" Constant
NU_ITEM_OCE has constant value "216044" Constant
NU_ITEM_OCE_N has constant value "216044" Constant
DS_VT_GAB_OFG_ORIG has constant value "216044" Constant
Dataset has 956 (0.4%) duplicate rows Duplicates
DS_VT_ESC_OFG has a high cardinality: 50850 distinct values High cardinality
DS_VT_ESC_OCE has a high cardinality: 195114 distinct values High cardinality
DS_VT_ACE_OCE has a high cardinality: 175237 distinct values High cardinality
DS_VT_ESC_OFG has 20281 (9.4%) missing values Missing
DS_VT_ACE_OFG has 20193 (9.3%) missing values Missing
DS_VT_ESC_OCE has 20281 (9.4%) missing values Missing
DS_VT_ACE_OCE has 20193 (9.3%) missing values Missing
NT_GER has 20280 (9.4%) missing values Missing
NT_FG has 20280 (9.4%) missing values Missing
NT_OBJ_FG has 20280 (9.4%) missing values Missing
NT_DIS_FG has 20280 (9.4%) missing values Missing
NT_FG_D1 has 20280 (9.4%) missing values Missing
NT_FG_D1_PT has 20280 (9.4%) missing values Missing
NT_FG_D1_CT has 20280 (9.4%) missing values Missing
NT_FG_D2 has 20280 (9.4%) missing values Missing
NT_FG_D2_PT has 20280 (9.4%) missing values Missing
NT_FG_D2_CT has 20280 (9.4%) missing values Missing
NT_CE has 20280 (9.4%) missing values Missing
NT_OBJ_CE has 20280 (9.4%) missing values Missing
NT_DIS_CE has 20280 (9.4%) missing values Missing
NT_CE_D1 has 20280 (9.4%) missing values Missing
NT_CE_D2 has 20280 (9.4%) missing values Missing
NT_CE_D3 has 20280 (9.4%) missing values Missing
QE_I01 has 13426 (6.2%) missing values Missing
QE_I02 has 13426 (6.2%) missing values Missing
QE_I03 has 13426 (6.2%) missing values Missing
QE_I04 has 13426 (6.2%) missing values Missing
QE_I05 has 13426 (6.2%) missing values Missing
QE_I06 has 13426 (6.2%) missing values Missing
QE_I07 has 13426 (6.2%) missing values Missing
QE_I08 has 13426 (6.2%) missing values Missing
QE_I09 has 13426 (6.2%) missing values Missing
QE_I10 has 13426 (6.2%) missing values Missing
QE_I11 has 13427 (6.2%) missing values Missing
QE_I12 has 13426 (6.2%) missing values Missing
QE_I13 has 13443 (6.2%) missing values Missing
QE_I14 has 13443 (6.2%) missing values Missing
QE_I15 has 13443 (6.2%) missing values Missing
QE_I16 has 13448 (6.2%) missing values Missing
QE_I17 has 13444 (6.2%) missing values Missing
QE_I18 has 13443 (6.2%) missing values Missing
QE_I19 has 13444 (6.2%) missing values Missing
QE_I20 has 13443 (6.2%) missing values Missing
QE_I21 has 13443 (6.2%) missing values Missing
QE_I22 has 13443 (6.2%) missing values Missing
QE_I23 has 13443 (6.2%) missing values Missing
QE_I24 has 13464 (6.2%) missing values Missing
QE_I25 has 13464 (6.2%) missing values Missing
QE_I26 has 13464 (6.2%) missing values Missing
QE_I27 has 13465 (6.2%) missing values Missing
QE_I28 has 13465 (6.2%) missing values Missing
QE_I29 has 13465 (6.2%) missing values Missing
QE_I30 has 13465 (6.2%) missing values Missing
QE_I31 has 13465 (6.2%) missing values Missing
QE_I32 has 13465 (6.2%) missing values Missing
QE_I33 has 13465 (6.2%) missing values Missing
QE_I34 has 13465 (6.2%) missing values Missing
QE_I35 has 13465 (6.2%) missing values Missing
QE_I36 has 13471 (6.2%) missing values Missing
QE_I37 has 13471 (6.2%) missing values Missing
QE_I38 has 13471 (6.2%) missing values Missing
QE_I39 has 13471 (6.2%) missing values Missing
QE_I40 has 13471 (6.2%) missing values Missing
QE_I41 has 13471 (6.2%) missing values Missing
QE_I42 has 13471 (6.2%) missing values Missing
QE_I43 has 13471 (6.2%) missing values Missing
QE_I44 has 13471 (6.2%) missing values Missing
QE_I45 has 13471 (6.2%) missing values Missing
QE_I46 has 13471 (6.2%) missing values Missing
QE_I47 has 13475 (6.2%) missing values Missing
QE_I48 has 13475 (6.2%) missing values Missing
QE_I49 has 13475 (6.2%) missing values Missing
QE_I50 has 13475 (6.2%) missing values Missing
QE_I51 has 13475 (6.2%) missing values Missing
QE_I52 has 13475 (6.2%) missing values Missing
QE_I53 has 13475 (6.2%) missing values Missing
QE_I54 has 13475 (6.2%) missing values Missing
QE_I55 has 13475 (6.2%) missing values Missing
QE_I56 has 13475 (6.2%) missing values Missing
QE_I57 has 13475 (6.2%) missing values Missing
QE_I58 has 13479 (6.2%) missing values Missing
QE_I59 has 13479 (6.2%) missing values Missing
QE_I60 has 13480 (6.2%) missing values Missing
QE_I61 has 13481 (6.2%) missing values Missing
QE_I62 has 13479 (6.2%) missing values Missing
QE_I63 has 13479 (6.2%) missing values Missing
QE_I64 has 13479 (6.2%) missing values Missing
QE_I65 has 13479 (6.2%) missing values Missing
QE_I66 has 13479 (6.2%) missing values Missing
QE_I67 has 13479 (6.2%) missing values Missing
QE_I68 has 13479 (6.2%) missing values Missing
DS_VT_ACE_OFG has 7796 (3.6%) zeros Zeros
NT_OBJ_FG has 7755 (3.6%) zeros Zeros
NT_DIS_FG has 15151 (7.0%) zeros Zeros
NT_FG_D1 has 27371 (12.7%) zeros Zeros
NT_FG_D1_PT has 27190 (12.6%) zeros Zeros
NT_FG_D1_CT has 32169 (14.9%) zeros Zeros
NT_FG_D2 has 19143 (8.9%) zeros Zeros
NT_FG_D2_PT has 19145 (8.9%) zeros Zeros
NT_FG_D2_CT has 23472 (10.9%) zeros Zeros
NT_DIS_CE has 13849 (6.4%) zeros Zeros
NT_CE_D1 has 37670 (17.4%) zeros Zeros
NT_CE_D2 has 46395 (21.5%) zeros Zeros
NT_CE_D3 has 44657 (20.7%) zeros Zeros

Reproduction

Analysis started2020-09-29 21:58:53.250537
Analysis finished2020-09-29 21:59:06.396882
Duration13.15 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

NU_ANO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
2016
216044 
ValueCountFrequency (%) 
2016216044100.0%
 
2020-09-29T18:59:06.643900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_IES
Real number (ℝ≥0)

Distinct997
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1544.171599
Minimum1
Maximum19512
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:06.898232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29
Q1344
median621
Q31753
95-th percentile4786
Maximum19512
Range19511
Interquartile range (IQR)1409

Descriptive statistics

Standard deviation2440.365771
Coefficient of variation (CV)1.580372137
Kurtosis19.58178376
Mean1544.171599
Median Absolute Deviation (MAD)458
Skewness4.044320726
Sum333609009
Variance5955385.095
MonotocityNot monotonic
2020-09-29T18:59:07.145795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
29873023.4%
 
32265423.0%
 
16330071.4%
 
67129121.3%
 
37426041.2%
 
13524571.1%
 
31623261.1%
 
66321731.0%
 
283519410.9%
 
147218820.9%
 
Other values (987)18289884.7%
 
ValueCountFrequency (%) 
15100.2%
 
29590.4%
 
37830.4%
 
44120.2%
 
56930.3%
 
ValueCountFrequency (%) 
195121540.1%
 
1875984< 0.1%
 
1849288< 0.1%
 
1844027< 0.1%
 
1740127< 0.1%
 

CO_CATEGAD
Real number (ℝ≥0)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8379.794297
Minimum93
Maximum17634
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:07.361936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile118
Q110002
median10005
Q310008
95-th percentile10008
Maximum17634
Range17541
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3666.826139
Coefficient of variation (CV)0.4375794929
Kurtosis1.279035506
Mean8379.794297
Median Absolute Deviation (MAD)3
Skewness-1.808784183
Sum1810404279
Variance13445613.93
MonotocityNot monotonic
2020-09-29T18:59:07.662751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
100057083532.8%
 
100086538130.3%
 
100022819313.0%
 
118142846.6%
 
121120525.6%
 
1000186164.0%
 
9353612.5%
 
11535541.6%
 
1000335541.6%
 
1000624141.1%
 
Other values (4)18000.8%
 
ValueCountFrequency (%) 
9353612.5%
 
11535541.6%
 
1162710.1%
 
118142846.6%
 
121120525.6%
 
ValueCountFrequency (%) 
1763416< 0.1%
 
100098250.4%
 
100086538130.3%
 
100076880.3%
 
1000624141.1%
 

CO_ORGACAD
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10024.6461
Minimum10019
Maximum10028
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:08.000756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10020
Q110022
median10026
Q310028
95-th percentile10028
Maximum10028
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.449364939
Coefficient of variation (CV)0.0003440884499
Kurtosis-1.806743751
Mean10024.6461
Median Absolute Deviation (MAD)2
Skewness-0.1560995008
Sum2165764643
Variance11.89811848
MonotocityNot monotonic
2020-09-29T18:59:08.179111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
1002810713749.6%
 
100226286729.1%
 
100204250819.7%
 
1002634951.6%
 
1001937< 0.1%
 
ValueCountFrequency (%) 
1001937< 0.1%
 
100204250819.7%
 
100226286729.1%
 
1002634951.6%
 
1002810713749.6%
 
ValueCountFrequency (%) 
1002810713749.6%
 
1002634951.6%
 
100226286729.1%
 
100204250819.7%
 
1001937< 0.1%
 

CO_GRUPO
Real number (ℝ≥0)

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean400.4093842
Minimum5
Maximum3501
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:08.368231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q119
median28
Q338
95-th percentile3501
Maximum3501
Range3496
Interquartile range (IQR)19

Descriptive statistics

Standard deviation1071.166848
Coefficient of variation (CV)2.675179179
Kurtosis4.495942201
Mean400.4093842
Median Absolute Deviation (MAD)10
Skewness2.547959555
Sum86506045
Variance1147398.415
MonotocityNot monotonic
2020-09-29T18:59:08.579974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
233571316.5%
 
383160414.6%
 
35012302810.7%
 
12161807.5%
 
36160167.4%
 
6148296.9%
 
19139976.5%
 
28138846.4%
 
17121795.6%
 
593244.3%
 
Other values (8)2929013.6%
 
ValueCountFrequency (%) 
593244.3%
 
6148296.9%
 
12161807.5%
 
17121795.6%
 
19139976.5%
 
ValueCountFrequency (%) 
35012302810.7%
 
9546902.2%
 
9263232.9%
 
917500.3%
 
9017030.8%
 

CO_CURSO
Real number (ℝ≥0)

Distinct4300
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean371714.1275
Minimum7
Maximum5001183
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:08.802724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile5920
Q137979
median91897
Q3119916
95-th percentile1185675
Maximum5001183
Range5001176
Interquartile range (IQR)81937

Descriptive statistics

Standard deviation831990.5005
Coefficient of variation (CV)2.238253644
Kurtosis20.22310484
Mean371714.1275
Median Absolute Deviation (MAD)44191
Skewness4.245585479
Sum8.030660696e+10
Variance6.92208193e+11
MonotocityIncreasing
2020-09-29T18:59:09.081245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9799065113.0%
 
9757323151.1%
 
116498221391.0%
 
12109318540.9%
 
11173013150.6%
 
120411210040.5%
 
911296090.3%
 
1094185000.2%
 
11701144910.2%
 
379854900.2%
 
Other values (4290)19881692.0%
 
ValueCountFrequency (%) 
734< 0.1%
 
954< 0.1%
 
1235< 0.1%
 
1729< 0.1%
 
2019< 0.1%
 
ValueCountFrequency (%) 
50011833370.2%
 
500118010< 0.1%
 
50010535< 0.1%
 
50010215< 0.1%
 
500098084< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
1
195220 
0
20824 
ValueCountFrequency (%) 
119522090.4%
 
0208249.6%
 

CO_MUNIC_CURSO
Real number (ℝ≥0)

Distinct578
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3351665.188
Minimum1100023
Maximum5300108
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:09.304019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1100023
5-th percentile1501402
Q12704302
median3306107
Q34106902
95-th percentile5201108
Maximum5300108
Range4200085
Interquartile range (IQR)1402600

Descriptive statistics

Standard deviation951382.9134
Coefficient of variation (CV)0.283853804
Kurtosis-0.05658949689
Mean3351665.188
Median Absolute Deviation (MAD)694501
Skewness-0.0675573095
Sum7.241071538e+11
Variance9.05129448e+11
MonotocityNot monotonic
2020-09-29T18:59:09.535809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3550308159057.4%
 
330455784263.9%
 
411370082663.8%
 
261160657632.7%
 
292740853392.5%
 
230440050832.4%
 
310620050772.3%
 
410690248342.2%
 
530010848192.2%
 
130260342942.0%
 
Other values (568)14823868.6%
 
ValueCountFrequency (%) 
11000231630.1%
 
11000493570.2%
 
110006443< 0.1%
 
11001145< 0.1%
 
11001221280.1%
 
ValueCountFrequency (%) 
530010848192.2%
 
522185862< 0.1%
 
522180931< 0.1%
 
522160139< 0.1%
 
52214032180.1%
 

CO_UF_CURSO
Real number (ℝ≥0)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.3496834
Minimum11
Maximum53
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:09.752069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q127
median33
Q341
95-th percentile52
Maximum53
Range42
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.502930426
Coefficient of variation (CV)0.2849481452
Kurtosis-0.05299169597
Mean33.3496834
Median Absolute Deviation (MAD)7
Skewness-0.03440759666
Sum7204999
Variance90.30568668
MonotocityNot monotonic
2020-09-29T18:59:09.973863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
354684221.7%
 
312171710.1%
 
41212969.9%
 
33168597.8%
 
43113125.2%
 
2998024.5%
 
2689614.1%
 
2384103.9%
 
4279663.7%
 
5269523.2%
 
Other values (17)5592725.9%
 
ValueCountFrequency (%) 
1121561.0%
 
1212840.6%
 
1344472.1%
 
145300.2%
 
1545032.1%
 
ValueCountFrequency (%) 
5348192.2%
 
5269523.2%
 
5132771.5%
 
5049512.3%
 
43113125.2%
 

CO_REGIAO_CURSO
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.987997815
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:10.168848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.04319462
Coefficient of variation (CV)0.3491283075
Kurtosis-0.4013511148
Mean2.987997815
Median Absolute Deviation (MAD)1
Skewness0.1290404934
Sum645539
Variance1.088255016
MonotocityNot monotonic
2020-09-29T18:59:10.369411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
38800940.7%
 
25175924.0%
 
44057418.8%
 
5199999.3%
 
1157037.3%
 
ValueCountFrequency (%) 
1157037.3%
 
25175924.0%
 
38800940.7%
 
44057418.8%
 
5199999.3%
 
ValueCountFrequency (%) 
5199999.3%
 
44057418.8%
 
38800940.7%
 
25175924.0%
 
1157037.3%
 

NU_IDADE
Real number (ℝ≥0)

Distinct64
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.19434004
Minimum17
Maximum89
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:10.601138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile21
Q123
median25
Q331
95-th percentile44
Maximum89
Range72
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.623133535
Coefficient of variation (CV)0.2703781512
Kurtosis2.801175052
Mean28.19434004
Median Absolute Deviation (MAD)3
Skewness1.641594089
Sum6091218
Variance58.11216489
MonotocityNot monotonic
2020-09-29T18:59:10.823774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
222644412.2%
 
232495911.6%
 
24213869.9%
 
25171597.9%
 
21160847.4%
 
26130376.0%
 
27107015.0%
 
2890824.2%
 
2976893.6%
 
3067073.1%
 
Other values (54)6279629.1%
 
ValueCountFrequency (%) 
172< 0.1%
 
1855< 0.1%
 
193440.2%
 
2033021.5%
 
21160847.4%
 
ValueCountFrequency (%) 
891< 0.1%
 
852< 0.1%
 
841< 0.1%
 
831< 0.1%
 
772< 0.1%
 

TP_SEXO
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
F
155100 
M
60937 
N
 
7
ValueCountFrequency (%) 
F15510071.8%
 
M6093728.2%
 
N7< 0.1%
 
2020-09-29T18:59:11.186651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ANO_FIM_2G
Real number (ℝ≥0)

Distinct56
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.501713
Minimum1959
Maximum2016
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:11.409304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1959
5-th percentile1997
Q12006
median2009
Q32011
95-th percentile2012
Maximum2016
Range57
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.496256043
Coefficient of variation (CV)0.002737858707
Kurtosis6.039492471
Mean2007.501713
Median Absolute Deviation (MAD)2
Skewness-2.132559028
Sum433708700
Variance30.20883049
MonotocityNot monotonic
2020-09-29T18:59:11.656392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20113864417.9%
 
20123252915.1%
 
20102884913.4%
 
2009212019.8%
 
2008157247.3%
 
2007117905.5%
 
200692184.3%
 
200577373.6%
 
200464113.0%
 
200357962.7%
 
Other values (46)3814517.7%
 
ValueCountFrequency (%) 
19591< 0.1%
 
19601< 0.1%
 
19611< 0.1%
 
19621< 0.1%
 
19642< 0.1%
 
ValueCountFrequency (%) 
201616< 0.1%
 
20155550.3%
 
201412050.6%
 
201343892.0%
 
20123252915.1%
 

ANO_IN_GRAD
Real number (ℝ≥0)

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012.239164
Minimum1980
Maximum2016
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:11.872634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1980
5-th percentile2010
Q12012
median2012
Q32013
95-th percentile2015
Maximum2016
Range36
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.567187815
Coefficient of variation (CV)0.000778827807
Kurtosis8.281298029
Mean2012.239164
Median Absolute Deviation (MAD)1
Skewness-1.220117554
Sum434732198
Variance2.456077649
MonotocityNot monotonic
2020-09-29T18:59:12.096830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
20136821831.6%
 
20126779731.4%
 
20113361615.6%
 
2014148336.9%
 
2010100884.7%
 
201578313.6%
 
201651672.4%
 
200939171.8%
 
200819520.9%
 
200710840.5%
 
Other values (19)15410.7%
 
ValueCountFrequency (%) 
19801< 0.1%
 
19871< 0.1%
 
19902< 0.1%
 
19913< 0.1%
 
19922< 0.1%
 
ValueCountFrequency (%) 
201651672.4%
 
201578313.6%
 
2014148336.9%
 
20136821831.6%
 
20126779731.4%
 

TP_SEMESTRE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
2
216044 
ValueCountFrequency (%) 
2216044100.0%
 
2020-09-29T18:59:12.342614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

IN_MATUT
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
0
114902 
1
101142 
ValueCountFrequency (%) 
011490253.2%
 
110114246.8%
 

IN_VESPER
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
0
150728 
1
65316 
ValueCountFrequency (%) 
015072869.8%
 
16531630.2%
 

IN_NOTURNO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
1
113520 
0
102524 
ValueCountFrequency (%) 
111352052.5%
 
010252447.5%
 

ID_STATUS
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
1
216044 
ValueCountFrequency (%) 
1216044100.0%
 

AMOSTRA
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
1
216044 
ValueCountFrequency (%) 
1216044100.0%
 

IN_GRAD
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
0
216044 
ValueCountFrequency (%) 
0216044100.0%
 

NU_ITEM_OFG
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
8
216044 
ValueCountFrequency (%) 
8216044100.0%
 
2020-09-29T18:59:12.570428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OFG_Z
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
0
216044 
ValueCountFrequency (%) 
0216044100.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
0
215294 
1
 
750
ValueCountFrequency (%) 
021529499.7%
 
17500.3%
 

NU_ITEM_OFG_N
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
0
216044 
ValueCountFrequency (%) 
0216044100.0%
 

NU_ITEM_OCE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
27
216044 
ValueCountFrequency (%) 
27216044100.0%
 
2020-09-29T18:59:12.774653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OCE_Z
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
0
115601 
2
53186 
4
31604 
1
15653 
ValueCountFrequency (%) 
011560153.5%
 
25318624.6%
 
43160414.6%
 
1156537.2%
 
2020-09-29T18:59:12.975271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OCE_X
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.263196386
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:13.167341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median4
Q35
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.861417642
Coefficient of variation (CV)0.4366248873
Kurtosis0.5886932226
Mean4.263196386
Median Absolute Deviation (MAD)1
Skewness0.06013066548
Sum921038
Variance3.464875636
MonotocityNot monotonic
2020-09-29T18:59:13.376272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
49198042.6%
 
55658326.2%
 
13520716.3%
 
8168957.8%
 
6129266.0%
 
1017030.8%
 
77500.3%
 
ValueCountFrequency (%) 
13520716.3%
 
49198042.6%
 
55658326.2%
 
6129266.0%
 
77500.3%
 
ValueCountFrequency (%) 
1017030.8%
 
8168957.8%
 
77500.3%
 
6129266.0%
 
55658326.2%
 

NU_ITEM_OCE_N
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
0
216044 
ValueCountFrequency (%) 
0216044100.0%
 

DS_VT_GAB_OFG_ORIG
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
CAEBCDAC
216044 
ValueCountFrequency (%) 
CAEBCDAC216044100.0%
 
2020-09-29T18:59:13.592379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
CAEBCDAC
215294 
CAEBXDAC
 
750
ValueCountFrequency (%) 
CAEBCDAC21529499.7%
 
CAEBXDAC7500.3%
 
2020-09-29T18:59:13.830922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
DBCBEEAEBDACACAADCDECBDDCBE
35713 
DCDEZBBCBZAECBZBACAEDZECCEA
31604 
BCBABDZAEBAZEABBCACCDADADCD
23028 
DBBEBAECACDACECDADBDEEEDADB
16180 
BBCAZZEBCACABDEABEDECDDECBA
16016 
Other values (13)
93503 
ValueCountFrequency (%) 
DBCBEEAEBDACACAADCDECBDDCBE3571316.5%
 
DCDEZBBCBZAECBZBACAEDZECCEA3160414.6%
 
BCBABDZAEBAZEABBCACCDADADCD2302810.7%
 
DBBEBAECACDACECDADBDEEEDADB161807.5%
 
BBCAZZEBCACABDEABEDECDDECBA160167.4%
 
BDCDAEDBCCCECEEBAADAEADDABC148296.9%
 
CDAABAEEAEBBDADDBBDCCBCECCB139976.5%
 
DBADEBBCBEEBCEECCAAABEADCAD138846.4%
 
ABECBCEDZACDZDCAABBBEDCEDED121795.6%
 
AEEECCCBEADEBDEACDDBDDCABBD93244.3%
 
Other values (8)2929013.6%
 
2020-09-29T18:59:14.062613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
DBCXEXAEBDACAXAADCDXCBDXCBE
35713 
DXXEZBBCBZAECBZBACAEDZECXEX
31604 
BCBABXZAEBAZEABBCACCDADADCD
23028 
DBBEXAECXCDAXECDAXBDEEEDADX
16180 
BBCAZZEBCACABDEXBEDXXDDEXBA
16016 
Other values (13)
93503 
ValueCountFrequency (%) 
DBCXEXAEBDACAXAADCDXCBDXCBE3571316.5%
 
DXXEZBBCBZAECBZBACAEDZECXEX3160414.6%
 
BCBABXZAEBAZEABBCACCDADADCD2302810.7%
 
DBBEXAECXCDAXECDAXBDEEEDADX161807.5%
 
BBCAZZEBCACABDEXBEDXXDDEXBA160167.4%
 
BDCXXEDBXCCECEEBAAXAEADDABC148296.9%
 
XDAXBXEEXXBBDADXBBDCCXXECCB139976.5%
 
DBADEBBCBEEBXXECCXAAXEADCAD138846.4%
 
ABEXBCEDZACDZDCAABBBEDCEDED121795.6%
 
AEEECCCBEXDEBDEAXDXBDXCABBD93244.3%
 
Other values (8)2929013.6%
 
2020-09-29T18:59:14.316123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DS_VT_ESC_OFG
Categorical

HIGH CARDINALITY
MISSING

Distinct50850
Distinct (%)26.0%
Missing20281
Missing (%)9.4%
Memory size1.6 MiB
CAEBBDAE
 
1472
CAEBBDAC
 
1057
CAEBADAE
 
1005
CAEDBDAE
 
769
CAEDADAE
 
669
Other values (50845)
190791 
ValueCountFrequency (%) 
CAEBBDAE14720.7%
 
CAEBBDAC10570.5%
 
CAEBADAE10050.5%
 
CAEDBDAE7690.4%
 
CAEDADAE6690.3%
 
CAEBADAC5910.3%
 
CAEABDAE5430.3%
 
CAEBCDAE5300.2%
 
CAECBDAE5120.2%
 
CAEBCDAC4930.2%
 
Other values (50840)18812287.1%
 
(Missing)202819.4%
 
2020-09-29T18:59:14.732414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique30528 ?
Unique (%)15.6%

DS_VT_ACE_OFG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct345
Distinct (%)0.2%
Missing20193
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean5039764.576
Minimum0
Maximum11119111
Zeros7796
Zeros (%)3.6%
Memory size1.6 MiB
2020-09-29T18:59:14.964207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q1100100
median1101100
Q310101101
95-th percentile11110100
Maximum11119111
Range11119111
Interquartile range (IQR)10001001

Descriptive statistics

Standard deviation5061411.965
Coefficient of variation (CV)1.004295318
Kurtosis-1.929326393
Mean5039764.576
Median Absolute Deviation (MAD)1101099
Skewness0.1784101288
Sum9.87042932e+11
Variance2.561789108e+13
MonotocityNot monotonic
2020-09-29T18:59:15.318022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
100127405.9%
 
10010089544.1%
 
077963.6%
 
1000010073773.4%
 
1010010065983.1%
 
110010058652.7%
 
1110010055282.6%
 
100010050842.4%
 
1110011050492.3%
 
110011040251.9%
 
Other values (335)12683558.7%
 
(Missing)201939.3%
 
ValueCountFrequency (%) 
077963.6%
 
114020.6%
 
1016990.8%
 
113430.2%
 
100127405.9%
 
ValueCountFrequency (%) 
111191113< 0.1%
 
111191104< 0.1%
 
111191011< 0.1%
 
111191003< 0.1%
 
111111114930.2%
 

DS_VT_ESC_OCE
Categorical

HIGH CARDINALITY
MISSING

Distinct195114
Distinct (%)99.7%
Missing20281
Missing (%)9.4%
Memory size1.6 MiB
...........................
 
297
***************************
 
72
AAAAAAAAAAAAAAAAAAAAAAAAAAA
 
30
BBBBBBBBBBBBBBBBBBBBBBBBBBB
 
13
CCCCCCCCCCCCCCCCCCCCCCCCCCC
 
10
Other values (195109)
195341 
ValueCountFrequency (%) 
...........................2970.1%
 
***************************72< 0.1%
 
AAAAAAAAAAAAAAAAAAAAAAAAAAA30< 0.1%
 
BBBBBBBBBBBBBBBBBBBBBBBBBBB13< 0.1%
 
CCCCCCCCCCCCCCCCCCCCCCCCCCC10< 0.1%
 
ABCDEDCBABCDEDCBABCDEDCBABC10< 0.1%
 
DDDDDDDDDDDDDDDDDDDDDDDDDDD8< 0.1%
 
EEEEEEEEEEEEEEEEEEEEEEEEEEE6< 0.1%
 
ABEEECEDBCCDBECAABBBEDCEDED6< 0.1%
 
DEABCDEABCDEABCDEABCDEABCDE5< 0.1%
 
Other values (195104)19530690.4%
 
(Missing)202819.4%
 
2020-09-29T18:59:16.251339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique194919 ?
Unique (%)99.6%

DS_VT_ACE_OCE
Categorical

HIGH CARDINALITY
MISSING

Distinct175237
Distinct (%)89.5%
Missing20193
Missing (%)9.3%
Memory size1.6 MiB
099080000800008000000800909
 
224
000088000000000900099000900
 
93
199181111811118111111811919
 
82
111191119101911119111111119
 
78
111191119101911119111011119
 
77
Other values (175232)
195297 
ValueCountFrequency (%) 
0990800008000080000008009092240.1%
 
00008800000000090009900090093< 0.1%
 
19918111181111811111181191982< 0.1%
 
11119111910191111911111111978< 0.1%
 
11119111910191111911101111977< 0.1%
 
11119111911191111911101111976< 0.1%
 
11119111911191111911111111968< 0.1%
 
10119111910191111911111111960< 0.1%
 
10119111910191111911101111955< 0.1%
 
00090900000009000009000900054< 0.1%
 
Other values (175227)19498490.3%
 
(Missing)201939.3%
 
2020-09-29T18:59:17.122007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique164208 ?
Unique (%)83.8%

TP_PRES
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean524.3560432
Minimum222
Maximum887
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:17.322488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum887
Range665
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97.93943367
Coefficient of variation (CV)0.1867804041
Kurtosis5.777593706
Mean524.3560432
Median Absolute Deviation (MAD)0
Skewness-2.640753691
Sum113283977
Variance9592.132667
MonotocityNot monotonic
2020-09-29T18:59:17.523003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55519542390.5%
 
222201589.3%
 
8873340.2%
 
44487< 0.1%
 
33441< 0.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
33441< 0.1%
 
44487< 0.1%
 
55519542390.5%
 
5561< 0.1%
 
ValueCountFrequency (%) 
8873340.2%
 
5561< 0.1%
 
55519542390.5%
 
44487< 0.1%
 
33441< 0.1%
 

TP_PR_GER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean524.0228148
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:17.739156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97.16486641
Coefficient of variation (CV)0.1854210612
Kurtosis5.80271991
Mean524.0228148
Median Absolute Deviation (MAD)0
Skewness-2.752925436
Sum113211985
Variance9441.011264
MonotocityNot monotonic
2020-09-29T18:59:17.939518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55519575890.6%
 
222201589.3%
 
88987< 0.1%
 
33340< 0.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
33340< 0.1%
 
55519575890.6%
 
5561< 0.1%
 
88987< 0.1%
 
ValueCountFrequency (%) 
88987< 0.1%
 
5561< 0.1%
 
55519575890.6%
 
33340< 0.1%
 
222201589.3%
 

TP_PR_OB_FG
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean523.6857723
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:18.140022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97.44147006
Coefficient of variation (CV)0.1860685839
Kurtosis5.687747732
Mean523.6857723
Median Absolute Deviation (MAD)0
Skewness-2.730658213
Sum113139169
Variance9494.840088
MonotocityNot monotonic
2020-09-29T18:59:18.340665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55519543090.5%
 
222201589.3%
 
3333680.2%
 
88987< 0.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
3333680.2%
 
55519543090.5%
 
5561< 0.1%
 
88987< 0.1%
 
ValueCountFrequency (%) 
88987< 0.1%
 
5561< 0.1%
 
55519543090.5%
 
3333680.2%
 
222201589.3%
 

TP_PR_DI_FG
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean509.285428
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:18.541344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.6219539
Coefficient of variation (CV)0.2113195234
Kurtosis2.306670014
Mean509.285428
Median Absolute Deviation (MAD)0
Skewness-1.985324995
Sum110028061
Variance11582.48496
MonotocityNot monotonic
2020-09-29T18:59:18.757586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55518141684.0%
 
222201589.3%
 
333143826.7%
 
88987< 0.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
333143826.7%
 
55518141684.0%
 
5561< 0.1%
 
88987< 0.1%
 
ValueCountFrequency (%) 
88987< 0.1%
 
5561< 0.1%
 
55518141684.0%
 
333143826.7%
 
222201589.3%
 

TP_PR_OB_CE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean523.7577021
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:18.956411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97.38260265
Coefficient of variation (CV)0.185930636
Kurtosis5.712092426
Mean523.7577021
Median Absolute Deviation (MAD)0
Skewness-2.735385754
Sum113154709
Variance9483.371298
MonotocityNot monotonic
2020-09-29T18:59:19.158476image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55519550090.5%
 
222201589.3%
 
3332980.1%
 
88987< 0.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
3332980.1%
 
55519550090.5%
 
5561< 0.1%
 
88987< 0.1%
 
ValueCountFrequency (%) 
88987< 0.1%
 
5561< 0.1%
 
55519550090.5%
 
3332980.1%
 
222201589.3%
 

TP_PR_DI_CE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean520.0903103
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:19.359051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation100.2742722
Coefficient of variation (CV)0.1928016543
Kurtosis4.590767216
Mean520.0903103
Median Absolute Deviation (MAD)0
Skewness-2.509960862
Sum112362391
Variance10054.92967
MonotocityNot monotonic
2020-09-29T18:59:19.559299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
55519193188.8%
 
222201589.3%
 
33338671.8%
 
88987< 0.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
33338671.8%
 
55519193188.8%
 
5561< 0.1%
 
88987< 0.1%
 
ValueCountFrequency (%) 
88987< 0.1%
 
5561< 0.1%
 
55519193188.8%
 
33338671.8%
 
222201589.3%
 

TP_SFG_D1
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean496.3390189
Minimum222
Maximum556
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:19.759782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum556
Range334
Interquartile range (IQR)0

Descriptive statistics

Standard deviation114.1278313
Coefficient of variation (CV)0.2299392693
Kurtosis0.6893516163
Mean496.3390189
Median Absolute Deviation (MAD)0
Skewness-1.553119503
Sum107231067
Variance13025.16188
MonotocityNot monotonic
2020-09-29T18:59:19.988284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55516901178.2%
 
3332506111.6%
 
222201589.3%
 
33616620.8%
 
3351510.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
3332506111.6%
 
3351510.1%
 
33616620.8%
 
55516901178.2%
 
ValueCountFrequency (%) 
5561< 0.1%
 
55516901178.2%
 
33616620.8%
 
3351510.1%
 
3332506111.6%
 

TP_SFG_D2
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean504.4167253
Minimum222
Maximum556
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:20.176460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum556
Range334
Interquartile range (IQR)0

Descriptive statistics

Standard deviation110.0805502
Coefficient of variation (CV)0.218233347
Kurtosis1.5947165
Mean504.4167253
Median Absolute Deviation (MAD)0
Skewness-1.827633573
Sum108976207
Variance12117.72754
MonotocityNot monotonic
2020-09-29T18:59:20.376911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55517688781.9%
 
222201589.3%
 
333182988.5%
 
3365560.3%
 
3351440.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
333182988.5%
 
3351440.1%
 
3365560.3%
 
55517688781.9%
 
ValueCountFrequency (%) 
5561< 0.1%
 
55517688781.9%
 
3365560.3%
 
3351440.1%
 
333182988.5%
 

TP_SCE_D1
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean511.0324147
Minimum222
Maximum556
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:20.561711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum556
Range334
Interquartile range (IQR)0

Descriptive statistics

Standard deviation106.162443
Coefficient of variation (CV)0.2077411137
Kurtosis2.607086357
Mean511.0324147
Median Absolute Deviation (MAD)0
Skewness-2.095078424
Sum110405487
Variance11270.4643
MonotocityNot monotonic
2020-09-29T18:59:20.893790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55518330784.8%
 
222201589.3%
 
333105274.9%
 
33618940.9%
 
3351570.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
333105274.9%
 
3351570.1%
 
33618940.9%
 
55518330784.8%
 
ValueCountFrequency (%) 
5561< 0.1%
 
55518330784.8%
 
33618940.9%
 
3351570.1%
 
333105274.9%
 

TP_SCE_D2
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean507.0095073
Minimum222
Maximum556
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:21.096848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum556
Range334
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108.6025238
Coefficient of variation (CV)0.2142021446
Kurtosis1.957013551
Mean507.0095073
Median Absolute Deviation (MAD)0
Skewness-1.927080754
Sum109536362
Variance11794.50818
MonotocityNot monotonic
2020-09-29T18:59:21.279288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55517939683.0%
 
222201589.3%
 
333147246.8%
 
33615830.7%
 
3351820.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
333147246.8%
 
3351820.1%
 
33615830.7%
 
55517939683.0%
 
ValueCountFrequency (%) 
5561< 0.1%
 
55517939683.0%
 
33615830.7%
 
3351820.1%
 
333147246.8%
 

TP_SCE_D3
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean510.1726917
Minimum222
Maximum556
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:21.479438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum556
Range334
Interquartile range (IQR)0

Descriptive statistics

Standard deviation106.7169522
Coefficient of variation (CV)0.2091780958
Kurtosis2.456813268
Mean510.1726917
Median Absolute Deviation (MAD)0
Skewness-2.057567981
Sum110219749
Variance11388.50788
MonotocityNot monotonic
2020-09-29T18:59:21.664079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55518248684.5%
 
222201589.3%
 
333125065.8%
 
3367340.3%
 
3351590.1%
 
5561< 0.1%
 
ValueCountFrequency (%) 
222201589.3%
 
333125065.8%
 
3351590.1%
 
3367340.3%
 
55518248684.5%
 
ValueCountFrequency (%) 
5561< 0.1%
 
55518248684.5%
 
3367340.3%
 
3351590.1%
 
333125065.8%
 

NT_GER
Real number (ℝ≥0)

MISSING

Distinct878
Distinct (%)0.4%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean47.15131842
Minimum0
Maximum93.2
Zeros301
Zeros (%)0.1%
Memory size1.6 MiB
2020-09-29T18:59:21.911433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q136.2
median46.8
Q358
95-th percentile72.2
Maximum93.2
Range93.2
Interquartile range (IQR)21.8

Descriptive statistics

Standard deviation15.05397503
Coefficient of variation (CV)0.31926944
Kurtosis-0.451640882
Mean47.15131842
Median Absolute Deviation (MAD)10.9
Skewness0.02481099757
Sum9230530.7
Variance226.6221642
MonotocityNot monotonic
2020-09-29T18:59:22.165405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
42.25510.3%
 
40.75360.2%
 
48.85290.2%
 
45.95290.2%
 
48.25240.2%
 
48.55230.2%
 
445200.2%
 
42.55150.2%
 
415130.2%
 
455130.2%
 
Other values (868)19051188.2%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
03010.1%
 
0.61< 0.1%
 
11< 0.1%
 
1.11< 0.1%
 
1.51< 0.1%
 
ValueCountFrequency (%) 
93.21< 0.1%
 
92.81< 0.1%
 
92.21< 0.1%
 
92.11< 0.1%
 
921< 0.1%
 

NT_FG
Real number (ℝ≥0)

MISSING

Distinct898
Distinct (%)0.5%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean44.3565957
Minimum0
Maximum98.4
Zeros1331
Zeros (%)0.6%
Memory size1.6 MiB
2020-09-29T18:59:22.381617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q132.7
median44.6
Q356.4
95-th percentile72
Maximum98.4
Range98.4
Interquartile range (IQR)23.7

Descriptive statistics

Standard deviation16.99271536
Coefficient of variation (CV)0.3830933167
Kurtosis-0.33497428
Mean44.3565957
Median Absolute Deviation (MAD)11.85
Skewness-0.07943719421
Sum8683424.6
Variance288.7523754
MonotocityNot monotonic
2020-09-29T18:59:22.613396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1538421.8%
 
22.532811.5%
 
7.530141.4%
 
3022431.0%
 
37.514260.7%
 
013310.6%
 
458850.4%
 
48.97610.4%
 
49.37100.3%
 
47.36940.3%
 
Other values (888)17757782.2%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
013310.6%
 
15< 0.1%
 
1.29< 0.1%
 
1.45< 0.1%
 
1.62< 0.1%
 
ValueCountFrequency (%) 
98.41< 0.1%
 
97.41< 0.1%
 
96.81< 0.1%
 
96.63< 0.1%
 
96.41< 0.1%
 

NT_OBJ_FG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct15
Distinct (%)< 0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean38.47906714
Minimum0
Maximum100
Zeros7755
Zeros (%)3.6%
Memory size1.6 MiB
2020-09-29T18:59:22.829306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.5
Q125
median37.5
Q350
95-th percentile75
Maximum100
Range100
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.37027924
Coefficient of variation (CV)0.529385995
Kurtosis-0.4246057294
Mean38.47906714
Median Absolute Deviation (MAD)12.5
Skewness0.2780741916
Sum7532816.1
Variance414.9482765
MonotocityNot monotonic
2020-09-29T18:59:23.036339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
37.54406720.4%
 
254214619.5%
 
503565516.5%
 
12.52648912.3%
 
62.52345410.9%
 
75116575.4%
 
077553.6%
 
87.534501.6%
 
1004960.2%
 
28.61730.1%
 
Other values (5)4220.2%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
077553.6%
 
12.52648912.3%
 
14.31510.1%
 
254214619.5%
 
28.61730.1%
 
ValueCountFrequency (%) 
1004960.2%
 
87.534501.6%
 
85.710< 0.1%
 
75116575.4%
 
71.429< 0.1%
 

NT_DIS_FG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct195
Distinct (%)0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean53.17281267
Minimum0
Maximum98.5
Zeros15151
Zeros (%)7.0%
Memory size1.6 MiB
2020-09-29T18:59:23.298990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q143
median58.5
Q369
95-th percentile80.5
Maximum98.5
Range98.5
Interquartile range (IQR)26

Descriptive statistics

Standard deviation22.38290803
Coefficient of variation (CV)0.4209464745
Kurtosis0.3034216597
Mean53.17281267
Median Absolute Deviation (MAD)12
Skewness-0.9783511187
Sum10409322.5
Variance500.9945721
MonotocityNot monotonic
2020-09-29T18:59:23.537194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0151517.0%
 
6631041.4%
 
6728651.3%
 
6227991.3%
 
7027501.3%
 
6326661.2%
 
6526631.2%
 
5826221.2%
 
7124961.2%
 
6124841.1%
 
Other values (185)15616472.3%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
0151517.0%
 
1.51< 0.1%
 
2.523< 0.1%
 
365< 0.1%
 
3.571< 0.1%
 
ValueCountFrequency (%) 
98.51< 0.1%
 
986< 0.1%
 
97.54< 0.1%
 
9710< 0.1%
 
96.520< 0.1%
 

NT_FG_D1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct99
Distinct (%)0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean58.12776098
Minimum0
Maximum100
Zeros27371
Zeros (%)12.7%
Memory size1.6 MiB
2020-09-29T18:59:23.768546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median67
Q379
95-th percentile95
Maximum100
Range100
Interquartile range (IQR)34

Descriptive statistics

Standard deviation29.49991609
Coefficient of variation (CV)0.5075013314
Kurtosis-0.342660818
Mean58.12776098
Median Absolute Deviation (MAD)14
Skewness-0.8946575012
Sum11379323
Variance870.2450492
MonotocityNot monotonic
2020-09-29T18:59:24.031474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02737112.7%
 
79109605.1%
 
7786214.0%
 
7162592.9%
 
9562262.9%
 
6161532.8%
 
6358762.7%
 
6955612.6%
 
7642802.0%
 
9342142.0%
 
Other values (89)11024351.0%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
02737112.7%
 
12< 0.1%
 
310< 0.1%
 
51290.1%
 
63870.2%
 
ValueCountFrequency (%) 
1002< 0.1%
 
991220.1%
 
987580.4%
 
9713210.6%
 
9618050.8%
 

NT_FG_D1_PT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean56.58571035
Minimum0
Maximum100
Zeros27190
Zeros (%)12.6%
Memory size1.6 MiB
2020-09-29T18:59:24.401517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median65
Q375
95-th percentile85
Maximum100
Range100
Interquartile range (IQR)25

Descriptive statistics

Standard deviation25.33416889
Coefficient of variation (CV)0.4477131901
Kurtosis0.7041096203
Mean56.58571035
Median Absolute Deviation (MAD)10
Skewness-1.343573563
Sum11077445
Variance641.8201134
MonotocityNot monotonic
2020-09-29T18:59:24.617698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
753912318.1%
 
653479116.1%
 
02719012.6%
 
60172198.0%
 
55167877.8%
 
70155397.2%
 
50146726.8%
 
80104474.8%
 
8565963.1%
 
4035681.7%
 
Other values (11)98324.6%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
02719012.6%
 
54< 0.1%
 
102< 0.1%
 
1520< 0.1%
 
209< 0.1%
 
ValueCountFrequency (%) 
1003< 0.1%
 
954800.2%
 
9033011.5%
 
8565963.1%
 
80104474.8%
 

NT_FG_D1_CT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean58.52644
Minimum0
Maximum100
Zeros32169
Zeros (%)14.9%
Memory size1.6 MiB
2020-09-29T18:59:24.809195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140
median70
Q380
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)40

Descriptive statistics

Standard deviation31.86249386
Coefficient of variation (CV)0.5444119591
Kurtosis-0.630296511
Mean58.52644
Median Absolute Deviation (MAD)20
Skewness-0.7188830378
Sum11457370
Variance1015.218515
MonotocityNot monotonic
2020-09-29T18:59:25.018755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
804161719.3%
 
03216914.9%
 
602781712.9%
 
702540611.8%
 
100209989.7%
 
90137736.4%
 
50133896.2%
 
40103884.8%
 
3052092.4%
 
2049982.3%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
03216914.9%
 
2049982.3%
 
3052092.4%
 
40103884.8%
 
50133896.2%
 
ValueCountFrequency (%) 
100209989.7%
 
90137736.4%
 
804161719.3%
 
702540611.8%
 
602781712.9%
 

NT_FG_D2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct97
Distinct (%)< 0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean48.21786437
Minimum0
Maximum99
Zeros19143
Zeros (%)8.9%
Memory size1.6 MiB
2020-09-29T18:59:25.290687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q136
median53
Q363
95-th percentile79
Maximum99
Range99
Interquartile range (IQR)27

Descriptive statistics

Standard deviation22.55230698
Coefficient of variation (CV)0.4677168364
Kurtosis-0.1051511419
Mean48.21786437
Median Absolute Deviation (MAD)14
Skewness-0.7133665827
Sum9439322
Variance508.6065502
MonotocityNot monotonic
2020-09-29T18:59:25.557800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0191438.9%
 
6383423.9%
 
5582013.8%
 
5373183.4%
 
6171223.3%
 
7158332.7%
 
5245342.1%
 
6045142.1%
 
6244602.1%
 
5444482.1%
 
Other values (87)12184956.4%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
0191438.9%
 
11< 0.1%
 
562< 0.1%
 
62080.1%
 
72580.1%
 
ValueCountFrequency (%) 
993< 0.1%
 
9862< 0.1%
 
9786< 0.1%
 
961620.1%
 
953560.2%
 

NT_FG_D2_PT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct19
Distinct (%)< 0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean59.25803519
Minimum0
Maximum100
Zeros19145
Zeros (%)8.9%
Memory size1.6 MiB
2020-09-29T18:59:25.758404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155
median65
Q375
95-th percentile85
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation22.6917132
Coefficient of variation (CV)0.3829305701
Kurtosis1.843371478
Mean59.25803519
Median Absolute Deviation (MAD)10
Skewness-1.572152377
Sum11600590
Variance514.9138479
MonotocityNot monotonic
2020-09-29T18:59:25.974311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
753697717.1%
 
653314815.3%
 
60206439.6%
 
70194059.0%
 
0191458.9%
 
55169017.8%
 
80144186.7%
 
50134976.2%
 
8555622.6%
 
9040241.9%
 
Other values (9)120445.6%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
0191458.9%
 
51< 0.1%
 
202< 0.1%
 
254540.2%
 
3017240.8%
 
ValueCountFrequency (%) 
1001< 0.1%
 
953520.2%
 
9040241.9%
 
8555622.6%
 
80144186.7%
 

NT_FG_D2_CT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean45.45820478
Minimum0
Maximum100
Zeros23472
Zeros (%)10.9%
Memory size1.6 MiB
2020-09-29T18:59:26.190489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median50
Q360
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation24.36907352
Coefficient of variation (CV)0.5360764606
Kurtosis-0.5942965132
Mean45.45820478
Median Absolute Deviation (MAD)20
Skewness-0.4070659734
Sum8899080
Variance593.8517444
MonotocityNot monotonic
2020-09-29T18:59:26.413763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
503756417.4%
 
603689217.1%
 
702350410.9%
 
02347210.9%
 
302174710.1%
 
40180548.4%
 
80131856.1%
 
20129476.0%
 
1036741.7%
 
9035471.6%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
02347210.9%
 
1036741.7%
 
20129476.0%
 
302174710.1%
 
40180548.4%
 
ValueCountFrequency (%) 
10011780.5%
 
9035471.6%
 
80131856.1%
 
702350410.9%
 
603689217.1%
 

NT_CE
Real number (ℝ≥0)

MISSING

Distinct924
Distinct (%)0.5%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean48.06622413
Minimum0
Maximum99
Zeros345
Zeros (%)0.2%
Memory size1.6 MiB
2020-09-29T18:59:26.644345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.7
Q135.8
median47.7
Q360.1
95-th percentile75.9
Maximum99
Range99
Interquartile range (IQR)24.3

Descriptive statistics

Standard deviation16.6063239
Coefficient of variation (CV)0.3454884214
Kurtosis-0.4861370915
Mean48.06622413
Median Absolute Deviation (MAD)12
Skewness0.05079996603
Sum9409636.3
Variance275.7699933
MonotocityNot monotonic
2020-09-29T18:59:26.902098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31.313530.6%
 
35.812840.6%
 
40.311440.5%
 
44.710410.5%
 
26.910120.5%
 
42.59230.4%
 
32.39050.4%
 
22.48450.4%
 
36.88370.4%
 
41.37730.4%
 
Other values (914)18564785.9%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
03450.2%
 
0.52< 0.1%
 
0.81< 0.1%
 
18< 0.1%
 
1.21< 0.1%
 
ValueCountFrequency (%) 
991< 0.1%
 
98.51< 0.1%
 
97.51< 0.1%
 
975< 0.1%
 
96.71< 0.1%
 

NT_OBJ_CE
Real number (ℝ≥0)

MISSING

Distinct133
Distinct (%)0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean49.83745224
Minimum0
Maximum100
Zeros463
Zeros (%)0.2%
Memory size1.6 MiB
2020-09-29T18:59:27.123333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.1
Q136.8
median50
Q363.2
95-th percentile81.8
Maximum100
Range100
Interquartile range (IQR)26.4

Descriptive statistics

Standard deviation18.11717024
Coefficient of variation (CV)0.3635252089
Kurtosis-0.4632936778
Mean49.83745224
Median Absolute Deviation (MAD)13.2
Skewness0.1116354167
Sum9756379
Variance328.2318573
MonotocityNot monotonic
2020-09-29T18:59:27.404835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5075443.5%
 
47.449212.3%
 
52.647822.2%
 
42.146162.1%
 
57.943852.0%
 
56.543582.0%
 
52.242732.0%
 
33.342352.0%
 
60.941901.9%
 
36.841891.9%
 
Other values (123)14827168.6%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
04630.2%
 
4.218< 0.1%
 
4.332< 0.1%
 
4.5105< 0.1%
 
4.837< 0.1%
 
ValueCountFrequency (%) 
1001660.1%
 
95.846< 0.1%
 
95.739< 0.1%
 
95.53920.2%
 
952< 0.1%
 

NT_DIS_CE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct247
Distinct (%)0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean38.00987873
Minimum0
Maximum100
Zeros13849
Zeros (%)6.4%
Memory size1.6 MiB
2020-09-29T18:59:27.646687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123.3
median38.3
Q353.3
95-th percentile71.7
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation20.80633602
Coefficient of variation (CV)0.5473928546
Kurtosis-0.6145151699
Mean38.00987873
Median Absolute Deviation (MAD)15
Skewness-0.02728671288
Sum7440965.9
Variance432.9036186
MonotocityNot monotonic
2020-09-29T18:59:28.002684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0138496.4%
 
43.374863.5%
 
36.773933.4%
 
3071653.3%
 
4070653.3%
 
33.369513.2%
 
5068033.1%
 
26.767203.1%
 
2065633.0%
 
46.764053.0%
 
Other values (237)11936455.2%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
0138496.4%
 
13< 0.1%
 
1.736< 0.1%
 
26< 0.1%
 
31< 0.1%
 
ValueCountFrequency (%) 
10041< 0.1%
 
98.36< 0.1%
 
96.724< 0.1%
 
959< 0.1%
 
93.31260.1%
 

NT_CE_D1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct79
Distinct (%)< 0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean38.66574549
Minimum0
Maximum100
Zeros37670
Zeros (%)17.4%
Memory size1.6 MiB
2020-09-29T18:59:28.248500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median40
Q360
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)47

Descriptive statistics

Standard deviation28.16722958
Coefficient of variation (CV)0.728480189
Kurtosis-1.050929105
Mean38.66574549
Median Absolute Deviation (MAD)20
Skewness0.1384381204
Sum7569361
Variance793.3928222
MonotocityNot monotonic
2020-09-29T18:59:28.506598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03767017.4%
 
502264810.5%
 
40196459.1%
 
60186978.7%
 
20145906.8%
 
30125945.8%
 
70116515.4%
 
80101224.7%
 
2584133.9%
 
1083343.9%
 
Other values (69)3140014.5%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
03767017.4%
 
34310.2%
 
536< 0.1%
 
612480.6%
 
95330.2%
 
ValueCountFrequency (%) 
10032741.5%
 
954260.2%
 
935< 0.1%
 
927< 0.1%
 
9035631.6%
 

NT_CE_D2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean36.24690954
Minimum0
Maximum100
Zeros46395
Zeros (%)21.5%
Memory size1.6 MiB
2020-09-29T18:59:28.727243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median40
Q360
95-th percentile90
Maximum100
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation28.69238596
Coefficient of variation (CV)0.7915815809
Kurtosis-0.8543635669
Mean36.24690954
Median Absolute Deviation (MAD)20
Skewness0.324981458
Sum7095840
Variance823.253012
MonotocityNot monotonic
2020-09-29T18:59:28.927842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
04639521.5%
 
402627212.2%
 
20172828.0%
 
50154857.2%
 
60149356.9%
 
30148196.9%
 
80103054.8%
 
7092364.3%
 
1073113.4%
 
10052432.4%
 
Other values (11)2848113.2%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
04639521.5%
 
56100.3%
 
1073113.4%
 
1521281.0%
 
20172828.0%
 
ValueCountFrequency (%) 
10052432.4%
 
952790.1%
 
9049952.3%
 
8511670.5%
 
80103054.8%
 

NT_CE_D3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing20280
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean39.11602746
Minimum0
Maximum100
Zeros44657
Zeros (%)20.7%
Memory size1.6 MiB
2020-09-29T18:59:29.128083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median40
Q360
95-th percentile85
Maximum100
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation29.17619547
Coefficient of variation (CV)0.7458885108
Kurtosis-1.07358052
Mean39.11602746
Median Absolute Deviation (MAD)20
Skewness0.09150868352
Sum7657510
Variance851.2503821
MonotocityNot monotonic
2020-09-29T18:59:29.328640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
04465720.7%
 
602389411.1%
 
50213059.9%
 
40167187.7%
 
20133896.2%
 
30132686.1%
 
80117485.4%
 
70103064.8%
 
1076573.5%
 
7559762.8%
 
Other values (11)2684612.4%
 
(Missing)202809.4%
 
ValueCountFrequency (%) 
04465720.7%
 
55100.2%
 
1076573.5%
 
1517010.8%
 
20133896.2%
 
ValueCountFrequency (%) 
10051122.4%
 
952550.1%
 
9034101.6%
 
8514420.7%
 
80117485.4%
 

CO_RS_I1
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
C
116883 
D
43772 
.
31487 
B
16456 
E
 
5139
Other values (2)
 
2307
ValueCountFrequency (%) 
C11688354.1%
 
D4377220.3%
 
.3148714.6%
 
B164567.6%
 
E51392.4%
 
A22221.0%
 
*85< 0.1%
 
2020-09-29T18:59:29.598049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I2
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
C
112808 
D
55062 
.
31503 
B
 
10075
E
 
5334
Other values (2)
 
1262
ValueCountFrequency (%) 
C11280852.2%
 
D5506225.5%
 
.3150314.6%
 
B100754.7%
 
E53342.5%
 
A11500.5%
 
*1120.1%
 
2020-09-29T18:59:29.813076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I3
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
C
107179 
B
43064 
.
31630 
A
21266 
D
 
10455
Other values (2)
 
2450
ValueCountFrequency (%) 
C10717949.6%
 
B4306419.9%
 
.3163014.6%
 
A212669.8%
 
D104554.8%
 
E22641.0%
 
*1860.1%
 
2020-09-29T18:59:30.029243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I4
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
B
101080 
A
40856 
.
31718 
C
25081 
D
15835 
Other values (2)
 
1474
ValueCountFrequency (%) 
B10108046.8%
 
A4085618.9%
 
.3171814.7%
 
C2508111.6%
 
D158357.3%
 
E13690.6%
 
*105< 0.1%
 
2020-09-29T18:59:30.260842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I5
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
B
105780 
A
43950 
.
31704 
C
22291 
D
11158 
Other values (2)
 
1161
ValueCountFrequency (%) 
B10578049.0%
 
A4395020.3%
 
.3170414.7%
 
C2229110.3%
 
D111585.2%
 
E10000.5%
 
*1610.1%
 
2020-09-29T18:59:30.499083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I6
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
C
91469 
B
60151 
.
31764 
D
22986 
A
 
7983
Other values (2)
 
1691
ValueCountFrequency (%) 
C9146942.3%
 
B6015127.8%
 
.3176414.7%
 
D2298610.6%
 
A79833.7%
 
E14890.7%
 
*2020.1%
 
2020-09-29T18:59:30.746025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I7
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
B
87784 
E
41915 
.
32093 
A
24622 
D
20093 
Other values (2)
9537 
ValueCountFrequency (%) 
B8778440.6%
 
E4191519.4%
 
.3209314.9%
 
A2462211.4%
 
D200939.3%
 
C91144.2%
 
*4230.2%
 
2020-09-29T18:59:30.946566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I8
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
D
117772 
.
32091 
C
24473 
E
21690 
B
14642 
Other values (2)
 
5376
ValueCountFrequency (%) 
D11777254.5%
 
.3209114.9%
 
C2447311.3%
 
E2169010.0%
 
B146426.8%
 
A51022.4%
 
*2740.1%
 
2020-09-29T18:59:31.165406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I9
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.6 MiB
D
88614 
C
57937 
.
32919 
B
23097 
E
11870 
Other values (2)
 
1607
ValueCountFrequency (%) 
D8861441.0%
 
C5793726.8%
 
.3291915.2%
 
B2309710.7%
 
E118705.5%
 
A14000.6%
 
*2070.1%
 
2020-09-29T18:59:31.385024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I01
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
A
150198 
B
39528 
C
 
6218
E
 
6034
D
 
640
ValueCountFrequency (%) 
A15019869.5%
 
B3952818.3%
 
C62182.9%
 
E60342.8%
 
D6400.3%
 
(Missing)134266.2%
 
2020-09-29T18:59:31.632420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I02
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
A
104460 
D
71197 
B
17619 
C
 
5440
F
 
3184
ValueCountFrequency (%) 
A10446048.4%
 
D7119733.0%
 
B176198.2%
 
C54402.5%
 
F31841.5%
 
E7180.3%
 
(Missing)134266.2%
 
2020-09-29T18:59:32.001893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I03
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
A
200561 
B
 
1761
C
 
296
ValueCountFrequency (%) 
A20056192.8%
 
B17610.8%
 
C2960.1%
 
(Missing)134266.2%
 
2020-09-29T18:59:32.218565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I04
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
D
62319 
B
56719 
C
30364 
E
29448 
A
13327 
ValueCountFrequency (%) 
D6231928.8%
 
B5671926.3%
 
C3036414.1%
 
E2944813.6%
 
A133276.2%
 
F104414.8%
 
(Missing)134266.2%
 
2020-09-29T18:59:32.465075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I05
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
D
65774 
B
46808 
E
33227 
C
28426 
F
19471 
ValueCountFrequency (%) 
D6577430.4%
 
B4680821.7%
 
E3322715.4%
 
C2842613.2%
 
F194719.0%
 
A89124.1%
 
(Missing)134266.2%
 
2020-09-29T18:59:32.722537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I06
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
B
110093 
C
53517 
A
19594 
D
17022 
F
 
1624
ValueCountFrequency (%) 
B11009351.0%
 
C5351724.8%
 
A195949.1%
 
D170227.9%
 
F16240.8%
 
E7680.4%
 
(Missing)134266.2%
 
2020-09-29T18:59:32.935143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I07
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
D
48391 
C
43429 
B
30280 
E
30096 
A
27963 
Other values (3)
22459 
ValueCountFrequency (%) 
D4839122.4%
 
C4342920.1%
 
B3028014.0%
 
E3009613.9%
 
A2796312.9%
 
F136606.3%
 
G52592.4%
 
H35401.6%
 
(Missing)134266.2%
 
2020-09-29T18:59:33.151351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I08
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
B
59829 
A
42465 
C
36709 
D
26677 
E
20391 
Other values (2)
16547 
ValueCountFrequency (%) 
B5982927.7%
 
A4246519.7%
 
C3670917.0%
 
D2667712.3%
 
E203919.4%
 
F138196.4%
 
G27281.3%
 
(Missing)134266.2%
 
2020-09-29T18:59:33.367108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I09
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
B
89795 
C
43398 
E
25932 
A
19657 
D
13068 
ValueCountFrequency (%) 
B8979541.6%
 
C4339820.1%
 
E2593212.0%
 
A196579.1%
 
D130686.0%
 
F107685.0%
 
(Missing)134266.2%
 
2020-09-29T18:59:33.636657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I10
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
A
113178 
E
43274 
D
19059 
B
15497 
C
11610 
ValueCountFrequency (%) 
A11317852.4%
 
E4327420.0%
 
D190598.8%
 
B154977.2%
 
C116105.4%
 
(Missing)134266.2%
 
2020-09-29T18:59:33.871066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I11
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing13427
Missing (%)6.2%
Memory size1.6 MiB
B
59762 
E
54767 
A
41687 
H
15042 
C
12935 
Other values (6)
18424 
ValueCountFrequency (%) 
B5976227.7%
 
E5476725.3%
 
A4168719.3%
 
H150427.0%
 
C129356.0%
 
G59512.8%
 
I34541.6%
 
F32071.5%
 
D24761.1%
 
J22621.0%
 
(Missing)134276.2%
 
2020-09-29T18:59:34.090761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I12
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13426
Missing (%)6.2%
Memory size1.6 MiB
A
184596 
F
 
6695
E
 
5232
C
 
2768
D
 
1809
ValueCountFrequency (%) 
A18459685.4%
 
F66953.1%
 
E52322.4%
 
C27681.3%
 
D18090.8%
 
B15180.7%
 
(Missing)134266.2%
 
2020-09-29T18:59:34.311440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I13
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
A
156000 
B
17240 
F
 
11629
D
 
7518
C
 
7258
ValueCountFrequency (%) 
A15600072.2%
 
B172408.0%
 
F116295.4%
 
D75183.5%
 
C72583.4%
 
E29561.4%
 
(Missing)134436.2%
 
2020-09-29T18:59:34.553473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I14
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
A
196047 
B
 
3004
F
 
1868
E
 
1366
C
 
230
ValueCountFrequency (%) 
A19604790.7%
 
B30041.4%
 
F18680.9%
 
E13660.6%
 
C2300.1%
 
D86< 0.1%
 
(Missing)134436.2%
 
2020-09-29T18:59:34.828324image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I15
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
A
161294 
D
 
14558
C
 
12492
E
 
7163
F
 
4167
ValueCountFrequency (%) 
A16129474.7%
 
D145586.7%
 
C124925.8%
 
E71633.3%
 
F41671.9%
 
B29271.4%
 
(Missing)134436.2%
 
2020-09-29T18:59:35.070257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I16
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)< 0.1%
Missing13448
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean32.63306778
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:35.270769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q126
median33
Q335
95-th percentile52
Maximum99
Range88
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.24084162
Coefficient of variation (CV)0.3138179251
Kurtosis3.602394465
Mean32.63306778
Median Absolute Deviation (MAD)7
Skewness0.6922112948
Sum6611329
Variance104.8748371
MonotocityNot monotonic
2020-09-29T18:59:35.493095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
353953818.3%
 
312299410.6%
 
33144836.7%
 
29128145.9%
 
41127465.9%
 
43117155.4%
 
2693094.3%
 
2391954.3%
 
5277633.6%
 
1566273.1%
 
Other values (18)5541225.6%
 
(Missing)134486.2%
 
ValueCountFrequency (%) 
1124921.2%
 
1213920.6%
 
1337881.8%
 
145690.3%
 
1566273.1%
 
ValueCountFrequency (%) 
994890.2%
 
5340761.9%
 
5277633.6%
 
5135911.7%
 
5028001.3%
 

QE_I17
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing13444
Missing (%)6.2%
Memory size1.6 MiB
A
126269 
B
54793 
D
 
11940
E
 
9053
F
 
364
ValueCountFrequency (%) 
A12626958.4%
 
B5479325.4%
 
D119405.5%
 
E90534.2%
 
F3640.2%
 
C1810.1%
 
(Missing)134446.2%
 
2020-09-29T18:59:35.724831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I18
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
A
169883 
B
 
15043
D
 
11007
C
 
5040
E
 
1628
ValueCountFrequency (%) 
A16988378.6%
 
B150437.0%
 
D110075.1%
 
C50402.3%
 
E16280.8%
 
(Missing)134436.2%
 
2020-09-29T18:59:35.994066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I19
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing13444
Missing (%)6.2%
Memory size1.6 MiB
B
133177 
A
31812 
C
16937 
F
 
10624
G
 
6004
Other values (2)
 
4046
ValueCountFrequency (%) 
B13317761.6%
 
A3181214.7%
 
C169377.8%
 
F106244.9%
 
G60042.8%
 
D35521.6%
 
E4940.2%
 
(Missing)134446.2%
 
2020-09-29T18:59:36.241498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I20
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
C
93120 
A
52898 
G
14831 
K
13299 
B
 
8517
Other values (6)
19936 
ValueCountFrequency (%) 
C9312043.1%
 
A5289824.5%
 
G148316.9%
 
K132996.2%
 
B85173.9%
 
H76053.5%
 
E51872.4%
 
D32871.5%
 
J22521.0%
 
I8950.4%
 
(Missing)134436.2%
 
2020-09-29T18:59:36.451239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I21
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
A
136776 
B
65825 
ValueCountFrequency (%) 
A13677663.3%
 
B6582530.5%
 
(Missing)134436.2%
 
2020-09-29T18:59:36.796338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I22
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
B
76094 
C
61181 
E
23648 
A
23027 
D
18651 
ValueCountFrequency (%) 
B7609435.2%
 
C6118128.3%
 
E2364810.9%
 
A2302710.7%
 
D186518.6%
 
(Missing)134436.2%
 
2020-09-29T18:59:37.043762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I23
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing13443
Missing (%)6.2%
Memory size1.6 MiB
B
87153 
C
60224 
D
26026 
E
23331 
A
 
5867
ValueCountFrequency (%) 
B8715340.3%
 
C6022427.9%
 
D2602612.0%
 
E2333110.8%
 
A58672.7%
 
(Missing)134436.2%
 
2020-09-29T18:59:37.313244image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I24
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing13464
Missing (%)6.2%
Memory size1.6 MiB
E
139376 
A
40188 
D
 
13038
C
 
7006
B
 
2972
ValueCountFrequency (%) 
E13937664.5%
 
A4018818.6%
 
D130386.0%
 
C70063.2%
 
B29721.4%
 
(Missing)134646.2%
 
2020-09-29T18:59:37.552842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I25
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13464
Missing (%)6.2%
Memory size1.6 MiB
E
91240 
H
35470 
A
32739 
C
19651 
B
17526 
Other values (3)
 
5954
ValueCountFrequency (%) 
E9124042.2%
 
H3547016.4%
 
A3273915.2%
 
C196519.1%
 
B175268.1%
 
D24261.1%
 
F21321.0%
 
G13960.6%
 
(Missing)134646.2%
 
2020-09-29T18:59:37.780054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I26
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing13464
Missing (%)6.2%
Memory size1.6 MiB
F
74709 
C
34912 
A
21799 
I
19763 
B
15815 
Other values (4)
35582 
ValueCountFrequency (%) 
F7470934.6%
 
C3491216.2%
 
A2179910.1%
 
I197639.1%
 
B158157.3%
 
E142046.6%
 
H130576.0%
 
G52302.4%
 
D30911.4%
 
(Missing)134646.2%
 
2020-09-29T18:59:38.003577image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I27
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13465
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.591976464
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:38.202833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8106505253
Coefficient of variation (CV)0.144966727
Kurtosis5.925360214
Mean5.591976464
Median Absolute Deviation (MAD)0
Skewness-2.046721466
Sum1132817
Variance0.6571542741
MonotocityNot monotonic
2020-09-29T18:59:38.418985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
614285466.1%
 
53784917.5%
 
4147816.8%
 
332831.5%
 
212030.6%
 
711270.5%
 
88140.4%
 
16680.3%
 
(Missing)134656.2%
 
ValueCountFrequency (%) 
16680.3%
 
212030.6%
 
332831.5%
 
4147816.8%
 
53784917.5%
 
ValueCountFrequency (%) 
88140.4%
 
711270.5%
 
614285466.1%
 
53784917.5%
 
4147816.8%
 

QE_I28
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13465
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.540663149
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:38.619139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8902266934
Coefficient of variation (CV)0.1606715062
Kurtosis5.483615332
Mean5.540663149
Median Absolute Deviation (MAD)0
Skewness-1.989840294
Sum1122422
Variance0.7925035656
MonotocityNot monotonic
2020-09-29T18:59:38.819769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
613692263.4%
 
54048218.7%
 
4151307.0%
 
344152.0%
 
218240.8%
 
716670.8%
 
111020.5%
 
810370.5%
 
(Missing)134656.2%
 
ValueCountFrequency (%) 
111020.5%
 
218240.8%
 
344152.0%
 
4151307.0%
 
54048218.7%
 
ValueCountFrequency (%) 
810370.5%
 
716670.8%
 
613692263.4%
 
54048218.7%
 
4151307.0%
 

QE_I29
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13465
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.387883246
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:39.004745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.021006492
Coefficient of variation (CV)0.1895004856
Kurtosis3.472511608
Mean5.387883246
Median Absolute Deviation (MAD)0
Skewness-1.719877647
Sum1091472
Variance1.042454256
MonotocityNot monotonic
2020-09-29T18:59:39.198719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612470557.7%
 
54340320.1%
 
4205779.5%
 
371643.3%
 
230281.4%
 
117470.8%
 
710160.5%
 
89390.4%
 
(Missing)134656.2%
 
ValueCountFrequency (%) 
117470.8%
 
230281.4%
 
371643.3%
 
4205779.5%
 
54340320.1%
 
ValueCountFrequency (%) 
89390.4%
 
710160.5%
 
612470557.7%
 
54340320.1%
 
4205779.5%
 

QE_I30
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13465
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.390272437
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:39.405827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.046311048
Coefficient of variation (CV)0.1941109769
Kurtosis3.5886119
Mean5.390272437
Median Absolute Deviation (MAD)0
Skewness-1.794167057
Sum1091956
Variance1.09476681
MonotocityNot monotonic
2020-09-29T18:59:39.613352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612728758.9%
 
54073118.9%
 
4197229.1%
 
372903.4%
 
235261.6%
 
120380.9%
 
711490.5%
 
88360.4%
 
(Missing)134656.2%
 
ValueCountFrequency (%) 
120380.9%
 
235261.6%
 
372903.4%
 
4197229.1%
 
54073118.9%
 
ValueCountFrequency (%) 
88360.4%
 
711490.5%
 
612728758.9%
 
54073118.9%
 
4197229.1%
 

QE_I31
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13465
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.663820041
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:39.806747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7752952501
Coefficient of variation (CV)0.1368855727
Kurtosis9.49877035
Mean5.663820041
Median Absolute Deviation (MAD)0
Skewness-2.700847518
Sum1147371
Variance0.6010827248
MonotocityNot monotonic
2020-09-29T18:59:40.007309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
615490471.7%
 
53142214.5%
 
495804.4%
 
330461.4%
 
215030.7%
 
18290.4%
 
78160.4%
 
84790.2%
 
(Missing)134656.2%
 
ValueCountFrequency (%) 
18290.4%
 
215030.7%
 
330461.4%
 
495804.4%
 
53142214.5%
 
ValueCountFrequency (%) 
84790.2%
 
78160.4%
 
615490471.7%
 
53142214.5%
 
495804.4%
 

QE_I32
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13465
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.619713791
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:40.207492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8480781776
Coefficient of variation (CV)0.1509112758
Kurtosis8.304159308
Mean5.619713791
Median Absolute Deviation (MAD)0
Skewness-2.562408369
Sum1138436
Variance0.7192365953
MonotocityNot monotonic
2020-09-29T18:59:40.423702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
615065069.7%
 
53192414.8%
 
4115245.3%
 
335611.6%
 
217770.8%
 
113240.6%
 
712930.6%
 
85260.2%
 
(Missing)134656.2%
 
ValueCountFrequency (%) 
113240.6%
 
217770.8%
 
335611.6%
 
4115245.3%
 
53192414.8%
 
ValueCountFrequency (%) 
85260.2%
 
712930.6%
 
615065069.7%
 
53192414.8%
 
4115245.3%
 

QE_I33
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13465
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.59254908
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:40.624304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8309617655
Coefficient of variation (CV)0.1485837234
Kurtosis7.19907894
Mean5.59254908
Median Absolute Deviation (MAD)0
Skewness-2.34040763
Sum1132933
Variance0.6904974557
MonotocityNot monotonic
2020-09-29T18:59:40.824337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
614483667.0%
 
53778217.5%
 
4121635.6%
 
336471.7%
 
216750.8%
 
19710.4%
 
79470.4%
 
85580.3%
 
(Missing)134656.2%
 
ValueCountFrequency (%) 
19710.4%
 
216750.8%
 
336471.7%
 
4121635.6%
 
53778217.5%
 
ValueCountFrequency (%) 
85580.3%
 
79470.4%
 
614483667.0%
 
53778217.5%
 
4121635.6%
 

QE_I34
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13465
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.545140414
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:41.025004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8973022989
Coefficient of variation (CV)0.1618177777
Kurtosis6.069513621
Mean5.545140414
Median Absolute Deviation (MAD)0
Skewness-2.174123796
Sum1123329
Variance0.8051514157
MonotocityNot monotonic
2020-09-29T18:59:41.219027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
613999964.8%
 
53869117.9%
 
4139676.5%
 
344742.1%
 
221181.0%
 
713120.6%
 
112820.6%
 
87360.3%
 
(Missing)134656.2%
 
ValueCountFrequency (%) 
112820.6%
 
221181.0%
 
344742.1%
 
4139676.5%
 
53869117.9%
 
ValueCountFrequency (%) 
87360.3%
 
713120.6%
 
613999964.8%
 
53869117.9%
 
4139676.5%
 

QE_I35
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13465
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.554302272
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:41.557579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8731945756
Coefficient of variation (CV)0.1572104889
Kurtosis6.279143029
Mean5.554302272
Median Absolute Deviation (MAD)0
Skewness-2.208444261
Sum1125185
Variance0.7624687669
MonotocityNot monotonic
2020-09-29T18:59:41.768803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
614068965.1%
 
53908718.1%
 
4137826.4%
 
342412.0%
 
218620.9%
 
711760.5%
 
111610.5%
 
85810.3%
 
(Missing)134656.2%
 
ValueCountFrequency (%) 
111610.5%
 
218620.9%
 
342412.0%
 
4137826.4%
 
53908718.1%
 
ValueCountFrequency (%) 
85810.3%
 
711760.5%
 
614068965.1%
 
53908718.1%
 
4137826.4%
 

QE_I36
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.557591584
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:41.958225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8181133596
Coefficient of variation (CV)0.1472064557
Kurtosis5.755230532
Mean5.557591584
Median Absolute Deviation (MAD)0
Skewness-1.981757625
Sum1125818
Variance0.6693094691
MonotocityNot monotonic
2020-09-29T18:59:42.158762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
613645163.2%
 
54499220.8%
 
4139066.4%
 
334681.6%
 
213430.6%
 
78890.4%
 
88130.4%
 
17110.3%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
17110.3%
 
213430.6%
 
334681.6%
 
4139066.4%
 
54499220.8%
 
ValueCountFrequency (%) 
88130.4%
 
78890.4%
 
613645163.2%
 
54499220.8%
 
4139066.4%
 

QE_I37
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.333790782
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:42.358939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.07011161
Coefficient of variation (CV)0.2006287186
Kurtosis3.297839076
Mean5.333790782
Median Absolute Deviation (MAD)0
Skewness-1.724441358
Sum1080482
Variance1.145138858
MonotocityNot monotonic
2020-09-29T18:59:42.590628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612044955.8%
 
54517920.9%
 
42168910.0%
 
372743.4%
 
237261.7%
 
124381.1%
 
711190.5%
 
86990.3%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
124381.1%
 
237261.7%
 
372743.4%
 
42168910.0%
 
54517920.9%
 
ValueCountFrequency (%) 
86990.3%
 
711190.5%
 
612044955.8%
 
54517920.9%
 
42168910.0%
 

QE_I38
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.329180098
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:42.789940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.023715884
Coefficient of variation (CV)0.1920963198
Kurtosis2.97573898
Mean5.329180098
Median Absolute Deviation (MAD)0
Skewness-1.600280145
Sum1079548
Variance1.047994212
MonotocityNot monotonic
2020-09-29T18:59:42.975696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611674154.0%
 
54912222.7%
 
42289310.6%
 
374553.5%
 
231451.5%
 
116640.8%
 
78230.4%
 
87300.3%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
116640.8%
 
231451.5%
 
374553.5%
 
42289310.6%
 
54912222.7%
 
ValueCountFrequency (%) 
87300.3%
 
78230.4%
 
611674154.0%
 
54912222.7%
 
42289310.6%
 

QE_I39
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.46387722
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:43.176190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9383240352
Coefficient of variation (CV)0.1717322695
Kurtosis4.230911759
Mean5.46387722
Median Absolute Deviation (MAD)0
Skewness-1.827357112
Sum1106834
Variance0.8804519951
MonotocityNot monotonic
2020-09-29T18:59:43.373283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
613004960.2%
 
54400620.4%
 
4174238.1%
 
357202.6%
 
224731.1%
 
110890.5%
 
89320.4%
 
78810.4%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
110890.5%
 
224731.1%
 
357202.6%
 
4174238.1%
 
54400620.4%
 
ValueCountFrequency (%) 
89320.4%
 
78810.4%
 
613004960.2%
 
54400620.4%
 
4174238.1%
 

QE_I40
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.069145444
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:43.576729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.383287744
Coefficient of variation (CV)0.2728838143
Kurtosis1.190201941
Mean5.069145444
Median Absolute Deviation (MAD)1
Skewness-1.144744581
Sum1026872
Variance1.913484982
MonotocityNot monotonic
2020-09-29T18:59:43.777221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
69895445.8%
 
54384020.3%
 
42776812.9%
 
3123945.7%
 
268883.2%
 
167933.1%
 
835731.7%
 
723631.1%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
167933.1%
 
268883.2%
 
3123945.7%
 
42776812.9%
 
54384020.3%
 
ValueCountFrequency (%) 
835731.7%
 
723631.1%
 
69895445.8%
 
54384020.3%
 
42776812.9%
 

QE_I41
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.165407038
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:43.977570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.326508484
Coefficient of variation (CV)0.2568061866
Kurtosis1.764431961
Mean5.165407038
Median Absolute Deviation (MAD)0
Skewness-1.526070193
Sum1046372
Variance1.759624757
MonotocityNot monotonic
2020-09-29T18:59:44.162148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611821954.7%
 
53638116.8%
 
4211909.8%
 
3109095.0%
 
277453.6%
 
159612.8%
 
711290.5%
 
810390.5%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
159612.8%
 
277453.6%
 
3109095.0%
 
4211909.8%
 
53638116.8%
 
ValueCountFrequency (%) 
810390.5%
 
711290.5%
 
611821954.7%
 
53638116.8%
 
4211909.8%
 

QE_I42
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.594852226
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:44.347058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8414383176
Coefficient of variation (CV)0.1503950924
Kurtosis7.239729532
Mean5.594852226
Median Absolute Deviation (MAD)0
Skewness-2.405247269
Sum1133366
Variance0.7080184423
MonotocityNot monotonic
2020-09-29T18:59:44.547700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
614708868.1%
 
53525916.3%
 
4121665.6%
 
339241.8%
 
218640.9%
 
19980.5%
 
78110.4%
 
84630.2%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
19980.5%
 
218640.9%
 
339241.8%
 
4121665.6%
 
53525916.3%
 
ValueCountFrequency (%) 
84630.2%
 
78110.4%
 
614708868.1%
 
53525916.3%
 
4121665.6%
 

QE_I43
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.216771238
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:44.779387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.378122533
Coefficient of variation (CV)0.2641715479
Kurtosis1.881525893
Mean5.216771238
Median Absolute Deviation (MAD)0
Skewness-1.465752564
Sum1056777
Variance1.899221716
MonotocityNot monotonic
2020-09-29T18:59:44.979921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611813354.7%
 
53459316.0%
 
4200629.3%
 
396064.4%
 
172293.3%
 
269943.2%
 
830391.4%
 
729171.4%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
172293.3%
 
269943.2%
 
396064.4%
 
4200629.3%
 
53459316.0%
 
ValueCountFrequency (%) 
830391.4%
 
729171.4%
 
611813354.7%
 
53459316.0%
 
4200629.3%
 

QE_I44
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.153761854
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:45.180399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.444650175
Coefficient of variation (CV)0.2803098427
Kurtosis1.411389336
Mean5.153761854
Median Absolute Deviation (MAD)0
Skewness-1.35664824
Sum1044013
Variance2.087014127
MonotocityNot monotonic
2020-09-29T18:59:45.365152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611448553.0%
 
53399115.7%
 
4205139.5%
 
3107365.0%
 
184933.9%
 
278923.7%
 
833701.6%
 
730931.4%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
184933.9%
 
278923.7%
 
3107365.0%
 
4205139.5%
 
53399115.7%
 
ValueCountFrequency (%) 
833701.6%
 
730931.4%
 
611448553.0%
 
53399115.7%
 
4205139.5%
 

QE_I45
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.245472003
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:45.565628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.285921105
Coefficient of variation (CV)0.2451487882
Kurtosis2.184426327
Mean5.245472003
Median Absolute Deviation (MAD)0
Skewness-1.540619353
Sum1062591
Variance1.653593089
MonotocityNot monotonic
2020-09-29T18:59:45.781790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611987055.5%
 
53671517.0%
 
4205249.5%
 
396544.5%
 
266533.1%
 
151192.4%
 
820470.9%
 
719910.9%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
151192.4%
 
266533.1%
 
396544.5%
 
4205249.5%
 
53671517.0%
 
ValueCountFrequency (%) 
820470.9%
 
719910.9%
 
611987055.5%
 
53671517.0%
 
4205249.5%
 

QE_I46
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13471
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.115992753
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:45.967414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.680652647
Coefficient of variation (CV)0.3285095833
Kurtosis0.4043911406
Mean5.115992753
Median Absolute Deviation (MAD)1
Skewness-0.8428612503
Sum1036362
Variance2.824593321
MonotocityNot monotonic
2020-09-29T18:59:46.298275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
69392343.5%
 
53343315.5%
 
42351410.9%
 
8132186.1%
 
3120445.6%
 
1115355.3%
 
292304.3%
 
756762.6%
 
(Missing)134716.2%
 
ValueCountFrequency (%) 
1115355.3%
 
292304.3%
 
3120445.6%
 
42351410.9%
 
53343315.5%
 
ValueCountFrequency (%) 
8132186.1%
 
756762.6%
 
69392343.5%
 
53343315.5%
 
42351410.9%
 

QE_I47
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.395682459
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:46.496453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.059241677
Coefficient of variation (CV)0.196312827
Kurtosis3.853612891
Mean5.395682459
Median Absolute Deviation (MAD)0
Skewness-1.872561603
Sum1092998
Variance1.12199293
MonotocityNot monotonic
2020-09-29T18:59:46.683708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612844359.5%
 
54069618.8%
 
4181378.4%
 
370333.3%
 
238891.8%
 
123241.1%
 
712650.6%
 
87820.4%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
123241.1%
 
238891.8%
 
370333.3%
 
4181378.4%
 
54069618.8%
 
ValueCountFrequency (%) 
87820.4%
 
712650.6%
 
612844359.5%
 
54069618.8%
 
4181378.4%
 

QE_I48
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.09233397
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:46.899825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.315565497
Coefficient of variation (CV)0.2583423446
Kurtosis1.525911311
Mean5.09233397
Median Absolute Deviation (MAD)0
Skewness-1.400452941
Sum1031549
Variance1.730712578
MonotocityNot monotonic
2020-09-29T18:59:47.101915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
610598749.1%
 
54432720.5%
 
42494011.5%
 
3115125.3%
 
272273.3%
 
159512.8%
 
717090.8%
 
89160.4%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
159512.8%
 
272273.3%
 
3115125.3%
 
42494011.5%
 
54432720.5%
 
ValueCountFrequency (%) 
89160.4%
 
717090.8%
 
610598749.1%
 
54432720.5%
 
42494011.5%
 

QE_I49
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.451905277
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:47.300479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9512724491
Coefficient of variation (CV)0.1744844051
Kurtosis4.217467033
Mean5.451905277
Median Absolute Deviation (MAD)0
Skewness-1.831844208
Sum1104387
Variance0.9049192723
MonotocityNot monotonic
2020-09-29T18:59:47.501077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612887859.7%
 
54500720.8%
 
4171717.9%
 
358552.7%
 
227291.3%
 
111800.5%
 
89540.4%
 
77950.4%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
111800.5%
 
227291.3%
 
358552.7%
 
4171717.9%
 
54500720.8%
 
ValueCountFrequency (%) 
89540.4%
 
77950.4%
 
612887859.7%
 
54500720.8%
 
4171717.9%
 

QE_I50
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.630506149
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:47.701648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9879564949
Coefficient of variation (CV)0.1754649527
Kurtosis6.330311101
Mean5.630506149
Median Absolute Deviation (MAD)0
Skewness-2.041623255
Sum1140566
Variance0.9760580358
MonotocityNot monotonic
2020-09-29T18:59:47.886554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
614208965.8%
 
53093314.3%
 
4114645.3%
 
762752.9%
 
342492.0%
 
829671.4%
 
225111.2%
 
120811.0%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
120811.0%
 
225111.2%
 
342492.0%
 
4114645.3%
 
53093314.3%
 
ValueCountFrequency (%) 
829671.4%
 
762752.9%
 
614208965.8%
 
53093314.3%
 
4114645.3%
 

QE_I51
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.642314471
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:48.108744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.004790708
Coefficient of variation (CV)0.1780813021
Kurtosis5.872671114
Mean5.642314471
Median Absolute Deviation (MAD)0
Skewness-1.894656898
Sum1142958
Variance1.009604366
MonotocityNot monotonic
2020-09-29T18:59:48.303274image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
613566362.8%
 
53337415.4%
 
4117375.4%
 
7101004.7%
 
340051.9%
 
832031.5%
 
223361.1%
 
121511.0%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
121511.0%
 
223361.1%
 
340051.9%
 
4117375.4%
 
53337415.4%
 
ValueCountFrequency (%) 
832031.5%
 
7101004.7%
 
613566362.8%
 
53337415.4%
 
4117375.4%
 

QE_I52
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean4.813100721
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:48.503735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.079553519
Coefficient of variation (CV)0.4320610847
Kurtosis-0.7170619182
Mean4.813100721
Median Absolute Deviation (MAD)1
Skewness-0.6348709181
Sum974985
Variance4.324542837
MonotocityNot monotonic
2020-09-29T18:59:48.690895image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
67749435.9%
 
12780012.9%
 
52382211.0%
 
4190278.8%
 
7179158.3%
 
8128135.9%
 
2120005.6%
 
3116985.4%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
12780012.9%
 
2120005.6%
 
3116985.4%
 
4190278.8%
 
52382211.0%
 
ValueCountFrequency (%) 
8128135.9%
 
7179158.3%
 
67749435.9%
 
52382211.0%
 
4190278.8%
 

QE_I53
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean4.713934511
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:48.889417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.220267879
Coefficient of variation (CV)0.4710010023
Kurtosis-1.009350545
Mean4.713934511
Median Absolute Deviation (MAD)1
Skewness-0.5378448146
Sum954897
Variance4.929589457
MonotocityNot monotonic
2020-09-29T18:59:49.105729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
67022032.5%
 
13479316.1%
 
72355410.9%
 
5206979.6%
 
4165707.7%
 
8133406.2%
 
2127645.9%
 
3106314.9%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
13479316.1%
 
2127645.9%
 
3106314.9%
 
4165707.7%
 
5206979.6%
 
ValueCountFrequency (%) 
8133406.2%
 
72355410.9%
 
67022032.5%
 
5206979.6%
 
4165707.7%
 

QE_I54
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.331758561
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:49.328309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.320497335
Coefficient of variation (CV)0.2476663786
Kurtosis2.550419945
Mean5.331758561
Median Absolute Deviation (MAD)0
Skewness-1.569665039
Sum1080049
Variance1.743713211
MonotocityNot monotonic
2020-09-29T18:59:49.528872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612614858.4%
 
53189214.8%
 
4173188.0%
 
384703.9%
 
260992.8%
 
159782.8%
 
841951.9%
 
724691.1%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
159782.8%
 
260992.8%
 
384703.9%
 
4173188.0%
 
53189214.8%
 
ValueCountFrequency (%) 
841951.9%
 
724691.1%
 
612614858.4%
 
53189214.8%
 
4173188.0%
 

QE_I55
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.413024698
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:49.728996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9948970239
Coefficient of variation (CV)0.183796875
Kurtosis3.843163649
Mean5.413024698
Median Absolute Deviation (MAD)0
Skewness-1.766798076
Sum1096511
Variance0.9898200883
MonotocityNot monotonic
2020-09-29T18:59:49.922692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612553658.1%
 
54546321.0%
 
4185558.6%
 
364923.0%
 
230471.4%
 
115330.7%
 
810560.5%
 
78870.4%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
115330.7%
 
230471.4%
 
364923.0%
 
4185558.6%
 
54546321.0%
 
ValueCountFrequency (%) 
810560.5%
 
78870.4%
 
612553658.1%
 
54546321.0%
 
4185558.6%
 

QE_I56
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.181059293
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:50.107548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.279789554
Coefficient of variation (CV)0.2470131071
Kurtosis1.831593253
Mean5.181059293
Median Absolute Deviation (MAD)0
Skewness-1.433101375
Sum1049522
Variance1.637861302
MonotocityNot monotonic
2020-09-29T18:59:50.292383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611179651.7%
 
54165219.3%
 
42327510.8%
 
3105294.9%
 
268673.2%
 
147872.2%
 
720260.9%
 
816370.8%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
147872.2%
 
268673.2%
 
3105294.9%
 
42327510.8%
 
54165219.3%
 
ValueCountFrequency (%) 
816370.8%
 
720260.9%
 
611179651.7%
 
54165219.3%
 
42327510.8%
 

QE_I57
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13475
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.488737171
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:50.508487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8934114873
Coefficient of variation (CV)0.1627717742
Kurtosis4.771175683
Mean5.488737171
Median Absolute Deviation (MAD)0
Skewness-1.947605453
Sum1111848
Variance0.7981840856
MonotocityNot monotonic
2020-09-29T18:59:50.709034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
613216161.2%
 
54505320.9%
 
4160207.4%
 
350732.3%
 
220801.0%
 
19460.4%
 
76760.3%
 
85600.3%
 
(Missing)134756.2%
 
ValueCountFrequency (%) 
19460.4%
 
220801.0%
 
350732.3%
 
4160207.4%
 
54505320.9%
 
ValueCountFrequency (%) 
85600.3%
 
76760.3%
 
613216161.2%
 
54505320.9%
 
4160207.4%
 

QE_I58
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.554592353
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:51.031798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9474646828
Coefficient of variation (CV)0.1705732163
Kurtosis6.160433457
Mean5.554592353
Median Absolute Deviation (MAD)0
Skewness-2.219733755
Sum1125166
Variance0.8976893252
MonotocityNot monotonic
2020-09-29T18:59:51.232437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
614342366.4%
 
53375215.6%
 
4133276.2%
 
349122.3%
 
226261.2%
 
717070.8%
 
117030.8%
 
811150.5%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
117030.8%
 
226261.2%
 
349122.3%
 
4133276.2%
 
53375215.6%
 
ValueCountFrequency (%) 
811150.5%
 
717070.8%
 
614342366.4%
 
53375215.6%
 
4133276.2%
 

QE_I59
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.225340014
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:51.448256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.274758034
Coefficient of variation (CV)0.2439569541
Kurtosis2.338083155
Mean5.225340014
Median Absolute Deviation (MAD)0
Skewness-1.562896469
Sum1058471
Variance1.625008045
MonotocityNot monotonic
2020-09-29T18:59:51.664359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611712054.2%
 
54023318.6%
 
4213579.9%
 
394034.4%
 
256782.6%
 
156262.6%
 
819310.9%
 
712170.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
156262.6%
 
256782.6%
 
394034.4%
 
4213579.9%
 
54023318.6%
 
ValueCountFrequency (%) 
819310.9%
 
712170.6%
 
611712054.2%
 
54023318.6%
 
4213579.9%
 

QE_I60
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13480
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.188231867
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:51.864613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.374341435
Coefficient of variation (CV)0.2648959164
Kurtosis1.76407968
Mean5.188231867
Median Absolute Deviation (MAD)0
Skewness-1.446388607
Sum1050949
Variance1.888814379
MonotocityNot monotonic
2020-09-29T18:59:52.065054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611510153.3%
 
53647616.9%
 
4209169.7%
 
3100304.6%
 
271403.3%
 
171353.3%
 
733341.5%
 
824321.1%
 
(Missing)134806.2%
 
ValueCountFrequency (%) 
171353.3%
 
271403.3%
 
3100304.6%
 
4209169.7%
 
53647616.9%
 
ValueCountFrequency (%) 
824321.1%
 
733341.5%
 
611510153.3%
 
53647616.9%
 
4209169.7%
 

QE_I61
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13481
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.116896965
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:52.250003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.329229707
Coefficient of variation (CV)0.2597726154
Kurtosis1.693062798
Mean5.116896965
Median Absolute Deviation (MAD)0
Skewness-1.509009147
Sum1036494
Variance1.766851615
MonotocityNot monotonic
2020-09-29T18:59:52.450190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611239052.0%
 
54060118.8%
 
42289710.6%
 
3109205.1%
 
272633.4%
 
166243.1%
 
712930.6%
 
85750.3%
 
(Missing)134816.2%
 
ValueCountFrequency (%) 
166243.1%
 
272633.4%
 
3109205.1%
 
42289710.6%
 
54060118.8%
 
ValueCountFrequency (%) 
85750.3%
 
712930.6%
 
611239052.0%
 
54060118.8%
 
42289710.6%
 

QE_I62
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.031106065
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:52.666312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.458226404
Coefficient of variation (CV)0.2898421113
Kurtosis0.9716125407
Mean5.031106065
Median Absolute Deviation (MAD)0
Skewness-1.290853564
Sum1019126
Variance2.126424245
MonotocityNot monotonic
2020-09-29T18:59:52.873796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
610460048.4%
 
53878618.0%
 
42330810.8%
 
3122185.7%
 
190884.2%
 
289054.1%
 
744682.1%
 
811920.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
190884.2%
 
289054.1%
 
3122185.7%
 
42330810.8%
 
53878618.0%
 
ValueCountFrequency (%) 
811920.6%
 
744682.1%
 
610460048.4%
 
53878618.0%
 
42330810.8%
 

QE_I63
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.135359021
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:53.051509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.382131709
Coefficient of variation (CV)0.2691402303
Kurtosis1.407220589
Mean5.135359021
Median Absolute Deviation (MAD)0
Skewness-1.381106715
Sum1040244
Variance1.910288062
MonotocityNot monotonic
2020-09-29T18:59:53.252050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
610941650.6%
 
53875617.9%
 
42186310.1%
 
3111755.2%
 
282553.8%
 
167643.1%
 
749712.3%
 
813650.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
167643.1%
 
282553.8%
 
3111755.2%
 
42186310.1%
 
53875617.9%
 
ValueCountFrequency (%) 
813650.6%
 
749712.3%
 
610941650.6%
 
53875617.9%
 
42186310.1%
 

QE_I64
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.264418829
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:53.436532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.243325417
Coefficient of variation (CV)0.236175247
Kurtosis2.434490226
Mean5.264418829
Median Absolute Deviation (MAD)0
Skewness-1.601873156
Sum1066387
Variance1.545858093
MonotocityNot monotonic
2020-09-29T18:59:53.668307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
612099356.0%
 
53870017.9%
 
4196169.1%
 
394584.4%
 
263222.9%
 
144402.1%
 
817550.8%
 
712810.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
144402.1%
 
263222.9%
 
394584.4%
 
4196169.1%
 
53870017.9%
 
ValueCountFrequency (%) 
817550.8%
 
712810.6%
 
612099356.0%
 
53870017.9%
 
4196169.1%
 

QE_I65
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.26711426
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:53.868894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.511540392
Coefficient of variation (CV)0.2869769513
Kurtosis1.501361291
Mean5.26711426
Median Absolute Deviation (MAD)0
Skewness-1.237441582
Sum1066933
Variance2.284754357
MonotocityNot monotonic
2020-09-29T18:59:54.069379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611416452.8%
 
53260215.1%
 
4177838.2%
 
193034.3%
 
891064.2%
 
388774.1%
 
272173.3%
 
735131.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
193034.3%
 
272173.3%
 
388774.1%
 
4177838.2%
 
53260215.1%
 
ValueCountFrequency (%) 
891064.2%
 
735131.6%
 
611416452.8%
 
53260215.1%
 
4177838.2%
 

QE_I66
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.473196258
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:54.254354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.021209584
Coefficient of variation (CV)0.1865837686
Kurtosis4.523501293
Mean5.473196258
Median Absolute Deviation (MAD)0
Skewness-1.909879483
Sum1108678
Variance1.042869015
MonotocityNot monotonic
2020-09-29T18:59:54.465520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
613405462.0%
 
53753217.4%
 
4163577.6%
 
361272.8%
 
232371.5%
 
119880.9%
 
717370.8%
 
815330.7%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
119880.9%
 
232371.5%
 
361272.8%
 
4163577.6%
 
53753217.4%
 
ValueCountFrequency (%) 
815330.7%
 
717370.8%
 
613405462.0%
 
53753217.4%
 
4163577.6%
 

QE_I67
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.053888875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:54.686126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.516344848
Coefficient of variation (CV)0.3000352571
Kurtosis0.8479177427
Mean5.053888875
Median Absolute Deviation (MAD)0
Skewness-1.197524397
Sum1023741
Variance2.299301697
MonotocityNot monotonic
2020-09-29T18:59:54.902237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
610708649.6%
 
53438115.9%
 
42263810.5%
 
3119315.5%
 
198254.5%
 
294594.4%
 
737281.7%
 
835171.6%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
198254.5%
 
294594.4%
 
3119315.5%
 
42263810.5%
 
53438115.9%
 
ValueCountFrequency (%) 
835171.6%
 
737281.7%
 
610708649.6%
 
53438115.9%
 
42263810.5%
 

QE_I68
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing13479
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.057028608
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size1.6 MiB
2020-09-29T18:59:55.102472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.456787236
Coefficient of variation (CV)0.2880717807
Kurtosis1.081372596
Mean5.057028608
Median Absolute Deviation (MAD)0
Skewness-1.400577985
Sum1024377
Variance2.122229051
MonotocityNot monotonic
2020-09-29T18:59:55.287324image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611451153.0%
 
53377615.6%
 
4206939.6%
 
3119995.6%
 
295044.4%
 
191214.2%
 
721551.0%
 
88060.4%
 
(Missing)134796.2%
 
ValueCountFrequency (%) 
191214.2%
 
295044.4%
 
3119995.6%
 
4206939.6%
 
53377615.6%
 
ValueCountFrequency (%) 
88060.4%
 
721551.0%
 
611451153.0%
 
53377615.6%
 
4206939.6%